DataArt

Data Engineer (Lithuania)

Added 3 weeks ago

Seniority level:

Specialist

Skills:

Databricks , 2 yrs.
Azure , 2 yrs.

Languages:

English B1 - Intermediate
Experience:
3 yrs. minimum in Engineering
Monthly salary (gross):
3500 - 4000 €
Contract type:
Full-time
Location:
Kaunas, Vilnius, Panevėžys, Klaipėda, Šiauliai, Alytus, Marijampolė, Utena
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Job description

Client

The client is a premier institution offering world-class postgraduate business education, including MBA, Executive MBA, and specialised finance and management programs. Its mission is to transform global business practices. The client is globally recognized for its rigorous academics, exceptional faculty, and cutting-edge research. It consistently ranks among the world’s top business schools, securing high positions in global MBA rankings. The client fosters leadership and innovation, equipping students for impactful careers in the international business landscape.


We are looking for a specialist based in Lithuania to join our team.



Project overview

The Client recently completed their Data & AI Strategy and Roadmap, establishing a foundation for a data-driven future. The assessment phase reviewed the current state of Data and AI, analyzing technology, processes, resources, and structure, and provided strategic recommendations aligned with the School’s 5-year transformation plan. Building on this, the discovery phase focused on data governance, use cases, business drivers, service offerings, technology, and roles, delivering further strategic insights. With this groundwork complete, The Client is now entering the delivery phase, which includes implementing a Data Platform, a first use case, and establishing Data Governance roles, processes, and technologies.


Technology stack

Databricks, SSIS, SQL server, Azure Data Factory, Azure SQL

Responsibilities

  • Development of data solutions (data pipelines, ETL processes, provisioning datasets) within the data platform.
  • Ensuring performance and reliability of the platform.


Requirements

  • 3+ years of experience in data platform architecture and design
  • Advanced knowledge of data modeling and performance optimization
  • Practical experience with Databricks, Azure Data Factory, and Microsoft Fabric


Nice to have

Experience with Python


We offer

• Professional Development:

— Experienced colleagues who are ready to share knowledge;

— The ability to switch projects, and technology stacks, try yourself in different roles;

— More than 150 workplaces for advanced training;

— Study and practice of English: courses and communication with colleagues and clients from different countries;

— Support of speakers who make presentations at conferences and meetings of technology communities;

— Stable income (Employment Contract with taxes allocated to Lithuania)

• The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;

• Friendly atmosphere, concern for the comfort of specialists;

• Flexible schedule and opportunity to work remotely within Lithuania.

Apply

To apply or inquire, please copy the following email address and paste it into your preferred email client: careers.riga@dataart.com

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Founded in 1997
Employees 5000
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About DataArt

DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries.

We are a global team of over 5,000 specialists across 30+ locations, with 32% women and 48% senior-level professionals. Our expertise spans Custom Software Engineering, AI/ML Innovation, Data & Analytics, and Cloud Transformation to drive business growth and efficiency.

DataArt cooperates with innovative startups and respected top companies, including Nasdaq, Skyscanner, Ocado, Doddle, Travelport, Meetup, Rappi, Betfair, and others. Our headquarters are located in New York.

The DataArt R&D Center in the Baltics has a team of about 56 professionals specializing in Java, JavaScript, .NET, DevOps, Data Engineering, Business Analysis, and other areas.

DataArt is deeply committed to actively supporting Ukraine.

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